Do you love to make an impact with data? If using tools like SQL, Tableau, Python or R to solve challenging problems is your idea of fun, then keep reading. Wyzant is looking for an experienced data analyst to join our team. You’ll be a part of a growing data team within Wyzant Engineering that provides reporting, analytics, data science and data engineering to the entire business.

We need someone able to help answer our tough business questions so we can make important decisions that will accelerate our growth. You might be asked to design rigorous statistical tests to measure lift from brand marketing, find ways to improve customer lifetime value, forecast incoming customer contacts or help us understand how customers use our app.

Responsibilities

• Collaborate with stakeholders on creating data-driven insights and customer behavior analysis that can indicate business opportunities
• Coordinate with business planners and decision makers to translate business questions into verifiable hypothesis
• Create dashboards and daily reports for company and stakeholder use
• Design and run statistical tests to understand the effectiveness of Wyzant’s marketing efforts and product development
• Work with engineers to develop, test, and maintain the accurate tracking, capturing and reporting of key product usage metrics
• Provide general analytical support to Wyzant’s product, engineering, finance and customer support teams
• Help Wyzant choose the data tools necessary to best support our needs

Requirements

• Proven track record of making recommendations and identifying trends from complex and diverse data sets
• High internal motivation and curiosity with ability to initiate and own analysis from start to finish
• Strong written and verbal communication skills, able to communicate with both technical and non-technical audiences
• 3+ years of experience in an analytical role
• 3+ years working with statistical tools such such Python, R or SAS
• 2+ years working with SQL in a data warehouse environment 
• 3+ years working with spreadsheet tools such as Excel or Google Sheets
• 2+ years working with visualization and reporting tools such as Tableau or Looker
• Comfortable working in a Mac / Linux environment

Nice to have:

• Understanding of digital marketing, web analytics, and marketing attribution
• Experience with Google Analytics and Google Ads
• Experience with AWS Redshift
• Exposure to cloud computing technologies (AWS, Google Cloud)
• Familiarity with Docker
• Comfortable working in a GitHub environment
• Comfortable working from the command line